Question Generation

There is research and interesting empirical evidence pointing to the effectiveness of the strategy of having the readers generate the questions to the texts. However, this resource rarely appears in classrooms. In fact, during classes, at all levels of schooling, the task of understanding is organized through pre-formulated questions and leaves very little room for the readers themselves to question the text.
This article shows how StudyKeep makes the questioning strategy available to all students to leverage the cognitive and motivational effects of question generation.
Traditionally, questionnaires have difficulties: entering a considerable number of questions is tedious and it is possible to make typing errors.
StudyKeep offers advantages of automatic question creation by providing the possibility of entering any text from which specific questionnaires should be generated.

“The art and science of asking questions is the source of all knowledge.”

-Thomas Berger

“Change the questions you ask, the way you view the issue will be transformed and innovation will start!”

Isaac You, Question Intelligence

The Question Generation System

In order to generate a question, the system first executes the approach of QG through pattern extraction. As with all other approaches, the input is a textual unit. If the module can generate a question, the system dismisses the other two approaches for the input at hand.
To illustrates the process involved in QG through pattern extraction:

After the module is loaded, all transformation pipelines are constructed through pattern extraction. This process is described in more detail below.

The parsed input is matched against the extracted patterns of the trans- formation pipelines. If a pattern matches, the pipeline is selected.

The optional function reference aux can be used to extend the pattern extracted from the textual unit and to perform further operations on the input from which a question should be generated.

Then the transformation instructions are applied.

If the pipeline entails a post-process function, it is applied.

More to the Story

A main objective of StudyKeep is to provide the advantages of question generation from any English text to everyone. The questions obtained will be at the level of the sentence, paragraph and document. For this purpose different analyses approaches are employed:

Questions generated based on a morphosyntactic analysis;

Question generated based on a syntactic dependency-based analysis;

Question generated based on lexical semantics;

and domain specific question generation.

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